Pierluca D'Oro

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Reinforcement Learning — 18 citations into it

Whom Pierluca D'Oro trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Richard S. Sutton
2. Sergey Ioffe
3. Geoffrey E. Hinton
4. Andrew Barto

Papers from Pierluca D'Oro's perspective

Ordered by how strongly the researchers Pierluca D'Oro trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Reinforcement Learning: An Introduction
4. Human-level control through deep reinforcement learning
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. The Arcade Learning Environment: An Evaluation Platform for General Agents
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• The Primacy Bias in Deep Reinforcement Learning (2022) — 307 citations